Abstract: Compressed sensing theory breaks the bondage of classical sampling theory, and effectively eases the signal processing and data storage pressure of direct sequence spread spectrum(DS) telemetry tracking and command (TT&C) signals in large bandwidth sampling. After analyzing the difference between DS TT&C and jamming signals, an adaptive jamming suppression algorithm of DS TT&C signals based on compression domain was proposed. Based on the feature of DS TT&C signals, corresponding sparse matrix was built. The normalized residual and relevant change rule of DS TT&C signals and jamming signal in the sparse matrix were computed and validated, DS TT&C signals were reconstructed with sparse coefficient, and the adaptive control of algorithm was achieved combined with change rate of normalized residual. Simulation results show that the algorithm can effectively restrain jamming signals, and detection probability and bit error rate respectively increased by 3 dB and 2 dB compared with those of the direct treatment.